





from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig


UpperCAmelCase_           =	logging.get_logger(__name__)

UpperCAmelCase_           =	"T5Config"




class 			__UpperCamelCase    (							A__    ):
     __A	:  str							  =   """mt5"""
     __A	:  Optional[Any]							  =   MTaConfig




class 			__UpperCamelCase    (							A__    ):
     __A	:  Tuple							  =   """mt5"""
     __A	:  List[str]							  =   MTaConfig




class 			__UpperCamelCase    (							A__    ):
     __A	:  Optional[Any]							  =   """mt5"""
     __A	:  int							  =   MTaConfig







"""simple docstring"""
def 							A						(				__snake_case: str  )    ->		list:

       """simple docstring"""





       return [
           txt[:a] + txt[a].upper() + txt[a + 1 :]
           for a in range(len(__snake_case  )  )
           if txt[a].isalpha()
       ]


if __name__ == "__main__":
 __import__("""doctest""").testmod()